you could create a mask that is the AND of all your subject masks I suppose


On Thu, 9 Mar 2017, Dorian P. wrote:

Thanks. I created a video to loop through all my 170+ subjects in template
space:
https://drive.google.com/open?id=0BxHeqEv37qqDeGFWVnpSVkVobkk

I see some cases that have dramatic problems. I will need to check those
more carefully and probably do an inspection of each one in individual
space. Beside those, do you think the variability of values going in and out
of the medial wall is normal for most of the subjects? You can point at
specific cases with the number of the subject on the overlay menu (left).
Thickness values start at 0.001

Thanks for your help so far.

Dorian

On Thu, Mar 9, 2017 at 4:29 PM, Bruce Fischl <fis...@nmr.mgh.harvard.edu>
wrote:
      Hi Dorian

      you can load the aparc.annot for each subject and use it to chek
      if the
      spherical registration worked ok. It's easy enough to write a
      script to
      load these for each subject, then write a tif file with a medial
      view, and
      zip through them all with nmovie

      cheers
      Bruce
      On Thu, 9 Mar 2017, Dorian P. wrote:

      > Thank you Bruce, Douglas.
      > Yes, I think thicknesses were obtained with v 5.3.0. There
      might be errors
      > as Bruce pointed out, I am going now through all maps to check
      them. This
      > makes me think of a question. Volumetric template
      registrations sometimes go
      > wrong. Does this happen also to surface registrations in FS
      sometimes ???
      >
      > I am using other statistics, not glm, but thanks for
      suggesting it. Data are
      > imported and exported in R using some R functions I built
      myself, nothing
      > fancy, just using intermediate text files to get what I want
      and put it back
      > for visualization.
      >
      > Thank you
      >
      > On Thu, Mar 9, 2017 at 11:23 AM, Douglas N Greve
      <gr...@nmr.mgh.harvard.edu>
      > wrote:
      >
      >
      >       On 03/08/2017 09:27 PM, Dorian P. wrote:
      >       > Hi Freesurfers,
      >       >
      >       > I am using R to perform thickness analyses. All
      subjects are
      >       > transformed in fsaverage space and all values are
      placed in a
      >       matrix
      >       > with 327684 columns (163842 for each hemisphere). I
      put the
      >       results
      >       > back in a surface file (.asc format) and then convert
      it to a
      >       binary
      >       > Freesurfer format. I then open the files in Freesurfer
      to view
      >       them.
      >       >
      >       > Overall the results make sense and fall in the right
      places.
      >       But I am
      >       > concerned that some results fall into the corpus
      callosum,
      >       which, if I
      >       > remember correctly should not have any thickness
      value, and
      >       therefore
      >       > no results.
      >       >
      >       > Here is a screenshot:
      >       > Inline image 1
      >       >
      >       > Can someone help my understand what might be wrong?
      Or, if
      >       this is
      >       > normal, why I am finding thickness results where there
      is no
      >       thickness?
      >       Is this 5.3? The thickness may not be 0 in the medial
      wall, but
      >       non-zero
      >       values are meaningless and should be masked out or
      ignored.
      >       >
      >       > Is there a way to find label numbers for each vertex
      in
      >       fsaverage
      >       > space (i.e. list of parcel number for each vertex).
      This might
      >       be
      >       > useful to exclude certain vertices or compute summery
      >       statistics of
      >       > the results directly in R.
      >       You can load the annotation into matlab with
      read_annotation.m
      >       >
      >       > Third question, is it possible to threshold the above
      map
      >       based on
      >       > minimal cluster area (i.e., in mri_surfcluster). If
      yes, do I
      >       need to
      >       > prepare a binary file with p-values for thresholding
      (0-1), or
      >       can I
      >       > use mri_surfcluster with t-score maps (0-Inf)?
      >       You can use any map you want, you just have to specify
      the
      >       threshold
      >       correctly. Also, you will need to have a FWHM. To get
      this I
      >       would run
      >       an analysis in mri_glmfit using a design similar to what
      you
      >       used in R
      >       (small differences probably won't affect the FWHM
      measure).
      >       >
      >       > Thank you for your help.
      >       > Dorian
      >       >
      >       >
      >       >
      >       > _______________________________________________
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      >       --
      >       Douglas N. Greve, Ph.D.
      >       MGH-NMR Center
      >       gr...@nmr.mgh.harvard.edu
      >       Phone Number: 617-724-2358
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      >       Outgoing:
      >     
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